{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T02:36:51Z","timestamp":1768012611415,"version":"3.49.0"},"reference-count":52,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000270","name":"Natural Environment Research Council","doi-asserted-by":"publisher","award":["NE\/N007433\/1"],"award-info":[{"award-number":["NE\/N007433\/1"]}],"id":[{"id":"10.13039\/501100000270","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Basic Research Program of China","award":["2015CB954103"],"award-info":[{"award-number":["2015CB954103"]}]},{"DOI":"10.13039\/501100010258","name":"Collaborative Innovation Center for Major Ecological Security Issues of Jiangxi Province and Monitoring Implementation","doi-asserted-by":"publisher","award":["NO. JXS-EW-00"],"award-info":[{"award-number":["NO. JXS-EW-00"]}],"id":[{"id":"10.13039\/501100010258","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41571130083"],"award-info":[{"award-number":["41571130083"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This paper develops and applies a novel method for inferring land cover\/land use (LCLU) change that combines direct multi-date classification with measures from a change vector analysis. The model predicts change directly rather than the land cover at either time, although these could be inferred. Unsupervised classifications of bi-temporal imagery were manually labeled and used to generate reference data for class-to-class changes. These were used to train a Random Forest model with inputs from the bi-temporal image bands and change vector measures (change vector direction, angle and the spectral angle) and used to generate a predicted surface of land cover change for a case study in the Pearl River Delta, China. The overall accuracy of LCLU change prediction was 96% and specific class-to-class changes had errors rates of 0\u201312.8%. Some errors were related the semi-automated labeling of the training data. The spectral angle variables and Near Infra-Red image bands for both years were found to be strong predictors of change. Odd ratios were used to quantify regional differences in land cover change rates in urban and peri-urban areas. The regional differences and origins of the observed errors are discussed, along with some areas of further work. The key contributions of this paper are the focus on change rather than LCLU through the construction of a model to predict changes directly and the development of an approach that provides quick, effective and informative analysis of LCLU change in support of policy and planning in rapidly urbanizing areas.<\/jats:p>","DOI":"10.3390\/rs10101578","type":"journal-article","created":{"date-parts":[[2018,10,2]],"date-time":"2018-10-02T08:23:50Z","timestamp":1538468630000},"page":"1578","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["A Modified Change Vector Approach for Quantifying Land Cover Change"],"prefix":"10.3390","volume":"10","author":[{"given":"Ru","family":"Xu","sequence":"first","affiliation":[{"name":"Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China"}]},{"given":"Hui","family":"Lin","sequence":"additional","affiliation":[{"name":"Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China"},{"name":"Institute of Space and Earth Information Science, Department of Geography and Resource Management and Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong, China"}]},{"given":"Yihe","family":"L\u00fc","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"given":"Ying","family":"Luo","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"given":"Yanjiao","family":"Ren","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3652-7846","authenticated-orcid":false,"given":"Alexis","family":"Comber","sequence":"additional","affiliation":[{"name":"School of Geography, University of Leeds, Leeds LS2 9JT, UK"}]}],"member":"1968","published-online":{"date-parts":[[2018,10,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"728","DOI":"10.1111\/j.1749-8198.2008.00106.x","article-title":"Sociospatial applications of remote sensing in urban environments","volume":"2","author":"Gatrell","year":"2008","journal-title":"Geogr. Compass"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"20666","DOI":"10.1073\/pnas.0704119104","article-title":"The emergence of land change science for global environmental change and sustainability","volume":"104","author":"Turner","year":"2007","journal-title":"Proc. Nat. Acad. Sci. USA"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/0034-4257(94)90144-9","article-title":"Change-vector analysis in multitemporal space: A tool to detect and categorize land-cover change processes using high temporal-resolution satellite data","volume":"48","author":"Lambin","year":"1994","journal-title":"Remote Sens. Environ."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2365","DOI":"10.1080\/0143116031000139863","article-title":"Change detection techniques","volume":"25","author":"Lu","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"858","DOI":"10.1109\/36.602528","article-title":"An iterative technique for the detection of land-cover transitions in multitemporal remote-sensing images","volume":"35","author":"Bruzzone","year":"1997","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.rse.2014.01.011","article-title":"Continuous change detection and classification of land cover using all available Landsat data","volume":"144","author":"Zhu","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/j.rse.2017.03.035","article-title":"A nationwide annual characterization of 25years of forest disturbance and recovery for Canada using Landsat time series","volume":"194","author":"White","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.isprsjprs.2013.03.006","article-title":"Change detection from remotely sensed images: From pixel-based to object-based approaches","volume":"80","author":"Hussain","year":"2013","journal-title":"ISPRS J. Photogramm."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2015.01.006","article-title":"A critical synthesis of remotely sensed optical image change detection techniques","volume":"160","author":"Tewkesbury","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1016\/j.isprsjprs.2017.06.013","article-title":"Change detection using Landsat time series: A review of frequencies, preprocessing, algorithms, and applications","volume":"130","author":"Zhu","year":"2017","journal-title":"ISPRS J. Photogramm."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"7539","DOI":"10.1080\/01431161.2010.524676","article-title":"Time\u2013space radiometric normalization of TM\/ETM+ images for land cover change detection","volume":"32","author":"Coulter","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"4365","DOI":"10.1080\/01431161.2010.486806","article-title":"Pre-classification and post-classification change-detection techniques to monitor land-cover and land-use change using multi-temporal Landsat imagery: A case study on Pisa Province in Italy","volume":"32","author":"Peiman","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2473","DOI":"10.3390\/rs3112473","article-title":"A new approach to change vector analysis using distance and similarity measures","volume":"3","author":"Gillespie","year":"2011","journal-title":"Remote Sens."},{"key":"ref_14","first-page":"131","article-title":"Robust Change Vector Analysis (RCVA) for multi-sensor very high resolution optical satellite data","volume":"50","author":"Thonfeld","year":"2016","journal-title":"Int. J. Appl. Earth Obs."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1016\/j.apgeog.2008.12.005","article-title":"Land use and land cover change in Greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization","volume":"29","author":"Dewan","year":"2009","journal-title":"Appl. Geogr."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/j.rse.2005.08.006","article-title":"Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing","volume":"98","author":"Yuan","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_17","first-page":"381","article-title":"Multispectralchange vector analysis for monitoring coastal marine environments","volume":"59","author":"Michalek","year":"1993","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1565","DOI":"10.1080\/0143116031000101675","article-title":"Digital change detection methods in ecosystem monitoring: A review","volume":"25","author":"Coppin","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_19","first-page":"243","article-title":"The characterisation and measurement of land cover change through remote sensing: Problems in operational applications?","volume":"4","author":"Fuller","year":"2003","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"3311","DOI":"10.1080\/0143116021000021189","article-title":"Post-classification change detection with data from different sensors: Some accuracy considerations","volume":"24","author":"Serra","year":"2003","journal-title":"Int. J. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"151","DOI":"10.5194\/gh-73-151-2018","article-title":"Fuzzy difference and data primitives: A transparent approach for supporting different definitions of forest in the context of REDD+","volume":"73","author":"Comber","year":"2018","journal-title":"Geogr. Helv."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.rse.2011.09.022","article-title":"Landsat: Building a strong future","volume":"122","author":"Loveland","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.isprsjprs.2016.03.008","article-title":"Optical remotely sensed time series data for land cover classification: A review","volume":"116","author":"White","year":"2016","journal-title":"ISPRS J. Photogramm."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/07038992.2018.1437719","article-title":"Disturbance-Informed Annual Land Cover Classification Maps of Canada\u2019s Forested Ecosystems for a 29-Year Landsat Time Series","volume":"44","author":"Hermosilla","year":"2018","journal-title":"Can. J. Remote Sens."},{"key":"ref_25","unstructured":"Gauld, J.H., Bell, J.S., Towers, W., and Miller, D.R. (1991). The Measurement and Analysis of Land Cover Changes in the Cairngorms, MLURI."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1111\/tran.12128","article-title":"Mapping coastal land use changes 1965\u20132014: Methods for handling historical thematic data","volume":"41","author":"Comber","year":"2016","journal-title":"Trans. Inst. Br. Geogr."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1080\/014311697219015","article-title":"The pixel: A snare and a delusion","volume":"18","author":"Fisher","year":"1997","journal-title":"Int. J. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/j.rse.2015.11.032","article-title":"The global Landsat archive: Status, consolidation, and direction","volume":"185","author":"Wulder","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.rse.2017.06.031","article-title":"Google Earth Engine: Planetary-scale geospatial analysis for everyone","volume":"202","author":"Gorelick","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1016\/j.rse.2017.03.015","article-title":"The Australian geoscience data cube\u2014Foundations and lessons learned","volume":"202","author":"Lewis","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_31","unstructured":"Malila, W.A. (2018, July 19). Change Vector Analysis: An Approach for Detecting Forest Changes with Landsat, in Symposium. Available online: https:\/\/docs.lib.purdue.edu\/cgi\/viewcontent.cgi?article=1386&context=lars_symp."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1109\/TGRS.2006.885408","article-title":"A theoretical framework for unsupervised change detection based on change vector analysis in the polar domain","volume":"45","author":"Bovolo","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1171","DOI":"10.1109\/36.843009","article-title":"Automatic analysis of the difference image for unsupervised change detection","volume":"38","author":"Bruzzone","year":"2000","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1676","DOI":"10.1016\/j.rse.2010.02.018","article-title":"Updating the 2001 National Land Cover Database impervious surface products to 2006 using Landsat imagery change detection methods","volume":"114","author":"Xian","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2196","DOI":"10.1109\/TGRS.2011.2171493","article-title":"A framework for automatic and unsupervised detection of multiple changes in multitemporal images","volume":"50","author":"Bovolo","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1016\/j.rse.2005.10.014","article-title":"Mapping invasive plants using hyperspectral imagery and Breiman Cutler classifications (RandomForest)","volume":"100","author":"Lawrence","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1016\/S0034-4257(00)00140-1","article-title":"Application of spherical statistics to change vector analysis of Landsat data: Southern Appalachian spruce\u2013fir forests","volume":"74","author":"Allen","year":"2000","journal-title":"Remote Sens. Environ."},{"key":"ref_38","first-page":"293","article-title":"An efficient and accurate method for mapping forest clearcuts in the Pacific Northwest using Landsat imagery","volume":"64","author":"Cohen","year":"1998","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1080\/014311698216062","article-title":"Change vector analysis: A technique for the multispectral monitoring of land cover and condition","volume":"19","author":"Johnson","year":"1998","journal-title":"Int. J. Remote. Sens."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"839","DOI":"10.1080\/0143116032000160462","article-title":"Comparative performance of a modified change vector analysis in forest change detection","volume":"26","author":"Nackaerts","year":"2005","journal-title":"Int. J. Remote. Sens."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Richards, J.A. (1993). Remote Sensing Digital Image Analysis, Springer.","DOI":"10.1007\/978-3-642-88087-2"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Comber, A., Balzter, H., Cole, B., Johnson, S., Oguto, B., and Fisher, P. (2016). Methods to quantify regional differences in land cover change. Remote Sens., 8.","DOI":"10.3390\/rs8030176"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"258","DOI":"10.1016\/j.rse.2016.02.060","article-title":"Perspectives on monitoring gradual change across the continuity of Landsat sensors using time-series data","volume":"185","author":"Vogelmann","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"369","DOI":"10.14358\/PERS.69.4.369","article-title":"Land-use\/land-cover change detection using improved change-vector analysis","volume":"69","author":"Chen","year":"2003","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Bovolo, F., Marchesi, S., and Bruzzone, L. (2010, January 25\u201330). A nearly lossless 2D representation and characterization of change information in multispectral images. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Honolulu, HI, USA.","DOI":"10.1109\/IGARSS.2010.5652646"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/0034-4257(93)90013-N","article-title":"The spectral image processing system (SIPS)\u2014Interactive visualization and analysis of imaging spectrometer data","volume":"44","author":"Kruse","year":"1993","journal-title":"Remote Sens. Environ."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"ref_48","unstructured":"Louppe, G., Wehenkel, L., Sutera, A., and Geurts, P. (2013, January 5\u20138). Understanding variable importances in forests of randomized trees. Proceedings of the 26th Neural Information Processing Systems Conference, Lake Tahoe, NV, USA."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1080\/02757250109532436","article-title":"Remote sensing of impervious surfaces: A review","volume":"20","author":"Slonecker","year":"2001","journal-title":"Remote Sens. Rev."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"024008","DOI":"10.1088\/1748-9326\/9\/2\/024008","article-title":"Expansion and growth in Chinese cities, 1978\u20132010","volume":"9","author":"Schneider","year":"2014","journal-title":"Environ. Res. Lett."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.ecoinf.2006.02.002","article-title":"Detecting change in vague interpretations of landscapes","volume":"1","author":"Fisher","year":"2006","journal-title":"Ecol. Inf."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1016\/j.rse.2009.09.004","article-title":"Remote sensing of land cover classes as type 2 fuzzy sets","volume":"114","author":"Fisher","year":"2010","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/10\/1578\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:23:33Z","timestamp":1760196213000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/10\/1578"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10,1]]},"references-count":52,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2018,10]]}},"alternative-id":["rs10101578"],"URL":"https:\/\/doi.org\/10.3390\/rs10101578","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10,1]]}}}